Source code for primpy.time.perturbations

"""Curvature perturbations with respect to time `t`."""
import numpy as np
from primpy.time.inflation import InflationEquationsT as Eq
from primpy.perturbations import Perturbation, ScalarMode, TensorMode


[docs] class PerturbationT(Perturbation): """Curvature perturbation for wavenumber `k` with respect to time `t`. Solves the Mukhanov--Sasaki equations w.r.t. cosmic time for curved universes. Parameters ---------- background : Bunch object same as returned by :func:`scipy.integrate.solve_ivp` Background solution as returned by :func:`primpy.time.inflation.InflationEquationsT.sol`. k : float wavenumber """ def __init__(self, background, k, **kwargs): super(PerturbationT, self).__init__(background=background, k=k) self.scalar = ScalarModeT(background=background, k=k, **kwargs) self.tensor = TensorModeT(background=background, k=k, **kwargs)
[docs] class ScalarModeT(ScalarMode): """Template for scalar modes.""" def __init__(self, background, k, **kwargs): super(ScalarModeT, self).__init__(background=background, k=k, **kwargs) self._set_independent_variable('t') if 'num_eval' in kwargs and kwargs['num_eval'] > 0: self.t_eval = np.logspace(np.log10(self.background.t[self.idx_beg]), np.log10(self.background.t[self.idx_end]), kwargs['num_eval']) self.x_eval = self.t_eval else: self.x_eval = None
[docs] def __call__(self, x, y): """Vector of derivatives.""" raise NotImplementedError("Equations class must define __call__.")
[docs] def mukhanov_sasaki_frequency_damping(self): """Frequency and damping term of the Mukhanov-Sasaki equations for scalar modes. Frequency and damping term of the Mukhanov-Sasaki equations for the comoving curvature perturbations `R` w.r.t. time `t`, where the e.o.m. is written as `ddR + 2 * damping * dR + frequency**2 * R = 0`. """ K = self.background.K N = self.background._N[self.idx_beg:self.idx_end+1] dphidt = self.background.dphidt[self.idx_beg:self.idx_end+1] H = self.background.H[self.idx_beg:self.idx_end+1] dV = self.background.potential.dV(self.background.phi[self.idx_beg:self.idx_end+1]) kappa2 = self.k**2 + self.k * K * (K + 1) - 3 * K shared = 2 * kappa2 / (kappa2 + K * dphidt**2 / (2 * H**2)) terms = dphidt**2 / (2 * H**2) - 3 - dV / (H * dphidt) - K * np.exp(-2 * N) / H**2 frequency2 = kappa2 * np.exp(-2 * N) - K * np.exp(-2 * N) * (1 + shared * terms) damping = (3 * H + shared * terms * H) / 2 if np.all(frequency2 > 0): return np.sqrt(frequency2), damping else: return np.sqrt(frequency2 + 0j), damping
[docs] def get_vacuum_ic_k(self): """Get initial conditions for scalar modes for HD approximation w.r.t. cosmic time `t`.""" N_i = self.background._N[self.idx_beg] a_i = np.exp(N_i) H_i = self.background.H[self.idx_beg] phi_i = self.background.phi[self.idx_beg] dV_i = self.background.potential.dV(phi_i) dphi_i = self.background.dphidt[self.idx_beg] dH_H_i = Eq.get_dH_H(N=N_i, H2=H_i**2, dphi=dphi_i, K=self.background.K) d2phi_i = Eq.get_d2phi(H2=H_i**2, dH_H=dH_H_i, dphi=dphi_i, dV=dV_i) z_i = a_i * dphi_i / H_i dz_z_i = H_i + d2phi_i / dphi_i - dH_H_i Rk_i = 1 / np.sqrt(2 * self.k) / z_i dRk_i = (-1j * self.k / a_i - dz_z_i) * Rk_i return Rk_i, dRk_i
[docs] def get_vacuum_ic_HD(self): """Get initial conditions for scalar modes for HD vacuum w.r.t. cosmic time `t`.""" N_i = self.background._N[self.idx_beg] a_i = np.exp(N_i) H_i = self.background.H[self.idx_beg] phi_i = self.background.phi[self.idx_beg] dV_i = self.background.potential.dV(phi_i) d2V_i = self.background.potential.d2V(phi_i) dphi_i = self.background.dphidt[self.idx_beg] dH_i = Eq.get_dH(N=N_i, H=H_i, dphi=dphi_i, K=self.background.K) dH_H_i = Eq.get_dH_H(N=N_i, H2=H_i**2, dphi=dphi_i, K=self.background.K) d2phi_i = Eq.get_d2phi(H2=H_i**2, dH_H=dH_H_i, dphi=dphi_i, dV=dV_i) d2H_i = Eq.get_d2H(N=N_i, H=H_i, dH=dH_i, dphi=dphi_i, d2phi=d2phi_i, K=self.background.K) d3phi_i = Eq.get_d3phi(H=H_i, dH=dH_i, d2H=d2H_i, dphi=dphi_i, d2phi=d2phi_i, dV=dV_i, d2V=d2V_i) z_i = a_i * dphi_i / H_i dz_z_i = H_i + d2phi_i / dphi_i - dH_H_i d2z_z_i = (H_i**2 + 2 * H_i * d2phi_i / dphi_i + d3phi_i / dphi_i - dH_i - d2H_i / H_i - 2 * d2phi_i * dH_H_i / dphi_i + 2 * dH_H_i**2) wk_i = a_i * np.sqrt(self.k**2/a_i**2 - H_i * dz_z_i - d2z_z_i) Rk_i = 1 / np.sqrt(2 * wk_i) / z_i dRk_i = (-1j * wk_i / a_i - dz_z_i) * Rk_i return Rk_i, dRk_i
[docs] def get_vacuum_ic_RST(self): """Get initial conditions for scalar modes for RST vacuum w.r.t. cosmic time `t`.""" a_i = np.exp(self.background._N[self.idx_beg]) dphi_i = self.background.dphidt[self.idx_beg] H_i = self.background.H[self.idx_beg] z_i = a_i * dphi_i / H_i Rk_i = 1 / np.sqrt(2 * self.k) / z_i dRk_i = -1j * self.k / a_i * Rk_i return Rk_i, dRk_i
[docs] class TensorModeT(TensorMode): """Template for tensor modes.""" def __init__(self, background, k, **kwargs): super(TensorModeT, self).__init__(background=background, k=k, **kwargs) self._set_independent_variable('t') if 'num_eval' in kwargs and kwargs['num_eval'] > 0: self.t_eval = np.logspace(np.log10(self.background.t[self.idx_beg]), np.log10(self.background.t[self.idx_end]), kwargs['num_eval']) self.x_eval = self.t_eval else: self.x_eval = None
[docs] def __call__(self, x, y): """Vector of derivatives.""" raise NotImplementedError("Equations class must define __call__.")
[docs] def mukhanov_sasaki_frequency_damping(self): """Frequency and damping term of the Mukhanov-Sasaki equations for tensor modes. Frequency and damping term of the Mukhanov-Sasaki equations for the tensor perturbations `h` w.r.t. time `t`, where the e.o.m. is written as `ddh + 2 * damping * dh + frequency**2 * h = 0`. """ K = self.background.K N = self.background._N[self.idx_beg:self.idx_end+1] frequency2 = (self.k**2 + self.k * K * (K + 1) + 2 * K) * np.exp(-2 * N) damping2 = 3 * self.background.H[self.idx_beg:self.idx_end+1] if np.all(frequency2 > 0): return np.sqrt(frequency2), damping2 / 2 else: return np.sqrt(frequency2 + 0j), damping2 / 2
[docs] def get_vacuum_ic_k(self): """Get initial conditions for tensor modes for HD approximation w.r.t. cosmic time `t`.""" a_i = np.exp(self.background._N[self.idx_beg]) H_i = self.background.H[self.idx_beg] hk_i = 2 / np.sqrt(2 * self.k) / a_i dhk_i = (-1j * self.k / a_i - H_i) * hk_i return hk_i, dhk_i
[docs] def get_vacuum_ic_HD(self): """Get initial conditions for tensor modes for HD vacuum w.r.t. cosmic time `t`.""" N_i = self.background._N[self.idx_beg] a_i = np.exp(N_i) H_i = self.background.H[self.idx_beg] dphi_i = self.background.dphidt[self.idx_beg] dH_i = Eq.get_dH(N=N_i, H=H_i, dphi=dphi_i, K=self.background.K) wk_i = a_i * np.sqrt(self.k**2/a_i**2 - 2 * H_i**2 - dH_i) hk_i = 2 / np.sqrt(2 * wk_i) / a_i dhk_i = (-1j * wk_i / a_i - H_i) * hk_i return hk_i, dhk_i
[docs] def get_vacuum_ic_RST(self): """Get initial conditions for tensor modes for RST vacuum w.r.t. cosmic time `t`.""" a_i = np.exp(self.background._N[self.idx_beg]) hk_i = 2 / np.sqrt(2 * self.k) / a_i dhk_i = -1j * self.k / a_i * hk_i return hk_i, dhk_i